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arXiv:2602.17346v1 Announce Type: new Abstract: Preordering is a generalization of clustering and partial ordering with applications in bioinformatics and social network analysis. Given a finite...
arXiv:2602.17348v1 Announce Type: new Abstract: We present and study an explicit exponential integrator for parabolic SPDEs in any dimension driven by a Gaussian noise which...
arXiv:2602.17350v1 Announce Type: new Abstract: Classifying the topology of closed curves is a central problem in low dimensional topology with applications beyond mathematics spanning protein...
arXiv:2602.17351v1 Announce Type: new Abstract: Diffraction tomography is a widely used inverse scattering technique for quantitative imaging of weakly scattering media. In its conventional formulation,...
arXiv:2602.17352v1 Announce Type: new Abstract: In a decentralized balancing model, Balance Responsible Parties (BRPs) are encouraged by the Transmission System Operator (TSO) to deviate from...
arXiv:2602.17353v1 Announce Type: new Abstract: We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter...
arXiv:2602.17354v1 Announce Type: new Abstract: Multimodal recommender systems (RSs) represent items in the catalog through multimodal data (e.g., product images and descriptions) that, in some...
arXiv:2602.17357v1 Announce Type: new Abstract: This paper argues that existing global AI safety frameworks exhibit contextual blindness towards India's unique socio-technical landscape. With a population...
arXiv:2602.17358v1 Announce Type: new Abstract: Prophet inequalities compare online stopping strategies against an omniscient "prophet" using distributional knowledge. In this work, we augment this model...
arXiv:2602.17363v1 Announce Type: new Abstract: Linear attention transformers have become a strong alternative to softmax attention due to their efficiency. However, linear attention tends to...
arXiv:2602.17364v1 Announce Type: new Abstract: Machine learning models are increasingly applied to biomedical data, yet their adoption in high stakes domains remains limited by poor...
arXiv:2602.17365v1 Announce Type: new Abstract: Agents operating in complex software environments benefit from reasoning about the consequences of their actions, as even a single incorrect...
arXiv:2602.17366v1 Announce Type: new Abstract: Long-tail question answering presents significant challenges for large language models (LLMs) due to their limited ability to acquire and accurately...
arXiv:2602.17372v1 Announce Type: new Abstract: Monitoring tree crop expansion is vital for zero-deforestation policies like the European Union's Regulation on Deforestation-free Products (EUDR). However, these...
arXiv:2602.17375v1 Announce Type: new Abstract: We cast episodic Markov decision process (MDP) planning as Bayesian inference over _policies_. A policy is treated as the latent...
arXiv:2602.17377v1 Announce Type: new Abstract: When students are unsure of the correct answer to a multiple-choice question (MCQ), guessing is common practice. The availability heuristic,...
arXiv:2602.17379v1 Announce Type: new Abstract: This paper proposes a novel robust Model Predictive Control (MPC) scheme for linear discrete-time systems affected by model uncertainty described...
arXiv:2602.17381v1 Announce Type: new Abstract: Connected and Autonomous Vehicles (CAVs) continue to evolve rapidly, and system latency remains one of their most critical performance parameters,...
arXiv:2602.17383v1 Announce Type: new Abstract: Speculative thinking about the capabilities and implications of artificial intelligence (AI) influences computer science research, drives AI industry practices, feeds...
arXiv:2602.17385v1 Announce Type: new Abstract: Task Arithmetic yields a modular, scalable way to adapt foundation models. Combining multiple task vectors, however, can lead to cross-task...
arXiv:2602.17386v1 Announce Type: new Abstract: Information retrieval lies at the foundation of the modern digital industry. While natural language search has seen dramatic progress in...
arXiv:2602.17387v1 Announce Type: new Abstract: State-of-the-art handwritten text recognition (HTR) systems commonly use Transformers, whose growing key-value (KV) cache makes decoding slow and memory-intensive. We...
arXiv:2602.17393v1 Announce Type: new Abstract: Reliable odometry for legged robots without cameras or LiDAR remains challenging due to IMU drift and noisy joint velocity sensing....
arXiv:2602.17394v1 Announce Type: new Abstract: Unmanned Aerial Vehicle (UAV)-assisted networks are increasingly foreseen as a promising approach for emergency response, providing rapid, flexible, and resilient...